2025-01-03
Difference between sparse and dense matrices
## Shortcomings - The embeddings are static: words have a unique meaning regardless of their context - For instance, ”climate” will still have the same representation in different contexts 1. ”Foreign investors know what a favourable climate the United Kingdom provides for manufacturing enterprise.” 2. ”The Prime Minister signed the Rio convention on climate change last June.” - Word order still does not matter 1. ”The government serves the people.” 2. ”The people serve the government.” - Dimensonality and embedding might be hard to understand
| Phrase | Sentiment Score |
|---|---|
| Let’s go get Italian food | 2.0429166109408983 |
| Let’s go get Chinese food | 1.4094033658140972 |
| Let’s go get Mexican food | 0.38801985560121732 |
| My name is Emily | 2.2286179364745311 |
| My name is Heather | 1.3976291151079159 |
| My name is Yvette | 0.98463802132985556 |
| My name is Shaniqua | -0.47048131775890656 |